Diving into the TensorFlow Code

An overview of TensorFlow

In this session, Akshay Srivatsan of Bloomberg LP provides an overview of TensorFlow, speaking of its mechanics and taking a glimpse at TensorBoard. He also mentions the likely scenarios of TensorFlow evolution.

Dive into the TensorFlow code

In the second part of the session, Akshay demonstrates the actual TensorFlow code, diving into its variables, placeholders, cost values, etc. In addition, he talks about Deep Q-Learner that showcases the potential of what can be built with TensorFlow.

Further reading

About the speaker

Akshay Srivatsan has worked at Bloomberg LP and at Applied Communication Sciences. He has a strong interest in machine learning, specifically in natural language processing. Akshay is experienced in graphical model approaches, such as LDA, and deep learning techniques, such as word vector embeddings. Using TensorFlow, Akshay has implemented projects on deep Q-learning, and on deep canonical correlation analysis.

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Sophie Turol is passionate about delivering well-structured articles that cater for picky technical audience. With 3+ years in technical writing and 5+ years in editorship, she enjoys collaboration with developers to create insightful, yet intelligible technical tutorials, overviews, and case studies. Sophie is enthusiastic about deep learning solutions—TensorFlow in particular—and PaaS systems, such as Cloud Foundry.

Altoros is a 300+ people strong consultancy that helps Global 2000 organizations with a methodology, training, technology building blocks, and end-to-end solution development. The company turns cloud-native app development, customer analytics, blockchain, and AI into products with a sustainable competitive advantage. Altoros assists enterprises on their way to digital transformation, standing behind some of the world's largest Cloud Foundry deployments.